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GitHub vs Bitbucket

Side-by-side uptime and reliability comparison based on real monitoring data.

GitHub
Operational
Bitbucket
Operational
FeatureGitHubBitbucket
Current StatusOperationalOperational
24-Hour Uptime100.00%100.00%
7-Day Uptime100.00%100.00%
30-Day Uptime99.98%100.00%
90-Day Uptime99.83%100.00%
Recent Incidents (total)665
Active Incidents00
Avg. Resolution Time2h 38m2h 19m
Tracked Components1213

GitHub vs Bitbucket: Uptime and Reliability Analysis

When evaluating ci/cd services for your stack, uptime and reliability are critical factors. Both GitHub and Bitbucket are widely used in the ci/cd space, but how do they compare on actual measured reliability?

Based on DevHelm's continuous monitoring of their official status pages, GitHub currently reports a 30-day uptime of 99.98% while Bitbucket reports 100.00%. This gives Bitbucket a slight edge in overall uptime for the past month.

Incident Frequency

Over the recent monitoring window, GitHub has logged 66 incidents while Bitbucket has recorded 5 incidents. Fewer incidents generally indicates more stable infrastructure, though the severity and duration of each incident matter as much as the raw count.

Mean Time to Resolution

GitHub resolves incidents in an average of 2h 38m. Bitbucket averages 2h 19m per incident. Lower resolution times mean less disruption to your application and users.

Component Coverage

GitHub exposes 12 trackable components on their status page, compared to 13 for Bitbucket. More components means more granular visibility into which parts of the service are affected during an outage. This is especially useful for targeted alerting and incident response.

Which Should You Choose?

Both GitHub and Bitbucket are production-grade ci/cd services used by thousands of companies. Your choice should factor in reliability alongside features, pricing, and ecosystem fit. DevHelm tracks both services continuously — add them to your workspace to receive real-time alerts when either experiences issues.

Methodology

DevHelm monitors the official status pages of both services and computes uptime from their self-reported component status data. Uptime percentages reflect the proportion of time all components reported operational status. Incident counts and resolution times come from vendor-published incident timelines. This comparison uses the same data source and methodology for both services to ensure a fair comparison. Data is refreshed every few minutes and aggregated daily.

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